| About this Abstract |
| Meeting |
2019 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2019)
|
| Symposium
|
2019 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2019)
|
| Presentation Title |
Inverse Metrology Approach: Using Simulations to Understand Process Monitoring in Laser-based Additive Manufacturing |
| Author(s) |
Brandon Lane, Massimo Carraturo, Ivan Zhirnov, Ho Yeung, Stefan Kollmannsberger, Ferdinando Auricchio |
| On-Site Speaker (Planned) |
Brandon Lane |
| Abstract Scope |
Process monitoring instrumentation in laser powder bed fusion (LPBF) principally relies on measurement of the radiant energy emitted from the laser-induced melt pool. However, the extreme surface temperatures and gradients pose a serious challenge to any process monitoring instrumentation, in which significant measurement error can occur from improper design, assumptions, or signal processing. This paper demonstrates an inverse metrological approach, in which the output of the sensor systems is simulated based on an assumed real temperature field obtained from high-fidelity numerical simulations of the LPBF process. Through this procedure, various components of measurement error can be isolated and studied and deficiencies in the instrumentation or image processing identified. This method is demonstrated and compared to measurement results from co-axial melt pool monitoring and high-magnification thermographic imaging performed on an LPBF testbed. Additional discussion is provided regarding the practical application to measurement uncertainty quantification, simulation validation, or real-time process control. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |